首页|Studies from University of Notre Dame Describe New Findings in Machine Learning (Superior Polymeric Gas Separation Membrane Designed By Explainable Graph Machin e Learning)
Studies from University of Notre Dame Describe New Findings in Machine Learning (Superior Polymeric Gas Separation Membrane Designed By Explainable Graph Machin e Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Machine Learning have been presented. According to news reportingfrom Notre Dame, Indiana, by NewsRx journalists, research stated, “Gas separation using polymer membranespromises to dramatically drive down the energy, carbon, and water intensity of traditiona l thermallydriven separation, but developing the membrane materials is challeng ing. Here, we demonstrate a graphmachine learning (ML) strategy to guide the ex perimental discovery of synthesizable polymer membraneswith performances simult aneously exceeding the empirical upper bounds in multiple industrially importantgas-separation tasks.”
Notre DameIndianaUnited StatesNort h and Central AmericaCyborgsEmerging TechnologiesMachine LearningUnivers ity of Notre Dame
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